使用 LangChain 把 PDF 生成音频播客
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            Updated
            May 10, 2023 
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使用 LangChain 把 PDF 生成音频播客
Streamlit-based chatbot to interact with PDFs using Retrieval-Augmented Generation (RAG), FAISS, Sentence Transformers, and Mistral LLM
Chat-with-Your-Documents is an AI-powered document chatbot using RAG, FastAPI, and React.js for local PDF question answering.
Sleek Streamlit chat app for Google Gemini (Files API). Dark, gradient UI with model picker, usage dialog, file/image/audio/PDF attach & preview, chat history, image persistence, robust error handling, and token usage tracking. Supports streaming replies and modular backend via google-genai.
🤖 A Generative AI chatbot that answers questions from PDFs using FLAN-T5 and sentence-transformers, built with Streamlit.
Chat with annual reports and financial statements using LangChain, Redis Vector Store, and Streamlit — fully Dockerized RAG pipeline
An AI-powered research assistant that answers academic questions from uploaded PDFs or links (arXiv, PubMed) and returns context-rich answers with citation support using LangChain, LLaMA 3 (Groq), and FAISS.
This is a Streamlit web application that allows users to upload a PDF document, extract text from it, and ask questions based on the extracted content using Google Gemini AI.
🧠 Hands-on RAG workshop using InterSystems IRIS & LLMs - Build PDF Q&A systems, natural language-to-SQL interfaces, and learn AI agent architecture with local/cloud options
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